


import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin

class     A__   (       snake_case__			,   unittest.TestCase      ):







    """simple docstring"""

    __magic_name__         =						CTRLTokenizer
    __magic_name__         =						False
    __magic_name__         =						False
    def 						a_     (			self       ):
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         snake_case											=							['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
         snake_case											=							dict(zip(__snake_case     ,   range(len(__snake_case       )       )       )       )
         snake_case											=							['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
         snake_case											=							{'''unk_token''': '''<unk>'''}

         snake_case											=							os.path.join(self.tmpdirname     ,   VOCAB_FILES_NAMES['''vocab_file''']       )
         snake_case											=							os.path.join(self.tmpdirname     ,   VOCAB_FILES_NAMES['''merges_file''']       )
         with open(self.vocab_file     ,   '''w'''     ,   encoding='''utf-8'''       ) as fp:
              fp.write(json.dumps(__snake_case       ) + '''\n'''       )
         with open(self.merges_file     ,   '''w'''     ,   encoding='''utf-8'''       ) as fp:
              fp.write('''\n'''.join(__snake_case       )       )
    def 						a_     (			self     ,   **__snake_case       ):
         kwargs.update(self.special_tokens_map       )
         return CTRLTokenizer.from_pretrained(self.tmpdirname     ,   **__snake_case       )
    def 						a_     (			self     ,   __snake_case       ):
         snake_case											=							'''adapt react readapt apt'''
         snake_case											=							'''adapt react readapt apt'''
         return input_text, output_text




    def 						a_     (			self       ):
         snake_case											=							CTRLTokenizer(self.vocab_file     ,   self.merges_file     ,   **self.special_tokens_map       )
         snake_case											=							'''adapt react readapt apt'''
         snake_case											=							'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
         snake_case											=							tokenizer.tokenize(__snake_case       )
         self.assertListEqual(__snake_case     ,   __snake_case       )

         snake_case											=							tokens + [tokenizer.unk_token]

         snake_case											=							[0, 1, 2, 4, 5, 1, 0, 3, 6]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case       )     ,   __snake_case       )








from functools import lru_cache
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     snake_case											=							2
     snake_case											=							set()
     while i * i <= n:
          if n % i:
               i += 1
          else:
               n //= i
               factors.add(UpperCamelCase_							)
     if n > 1:
          factors.add(UpperCamelCase_							)
     return factors
@lru_cache
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     return len(unique_prime_factors(UpperCamelCase_							)							)
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     return len(set(UpperCamelCase_							)							) in (0, 1)
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     snake_case											=							2

     while True:
          # Increment each value of a generated range
          snake_case											=							[base + i for i in range(UpperCamelCase_							)]

          # Run elements through out unique_prime_factors function
          # Append our target number to the end.
          snake_case											=							[upf_len(UpperCamelCase_							) for x in group]
          checker.append(UpperCamelCase_							)

          # If all numbers in the list are equal, return the group variable.
          if equality(UpperCamelCase_							):
               return group

          # Increment our base variable by 1
          base += 1
def      UpperCAmelCase__		(UpperCamelCase_ = 4							):



     """simple docstring"""






     snake_case											=							run(UpperCamelCase_							)
     return results[0] if len(UpperCamelCase_							) else None


if __name__ == "__main__":
 print(solution())




